Coverage for tests/test_match_probabilistic_task.py: 31%

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1# This file is part of meas_astrom. 

2# 

3# Developed for the LSST Data Management System. 

4# This product includes software developed by the LSST Project 

5# (https://www.lsst.org). 

6# See the COPYRIGHT file at the top-level directory of this distribution 

7# for details of code ownership. 

8# 

9# This program is free software: you can redistribute it and/or modify 

10# it under the terms of the GNU General Public License as published by 

11# the Free Software Foundation, either version 3 of the License, or 

12# (at your option) any later version. 

13# 

14# This program is distributed in the hope that it will be useful, 

15# but WITHOUT ANY WARRANTY; without even the implied warranty of 

16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

17# GNU General Public License for more details. 

18# 

19# You should have received a copy of the GNU General Public License 

20# along with this program. If not, see <https://www.gnu.org/licenses/>. 

21 

22 

23import unittest 

24import lsst.utils.tests 

25 

26import lsst.afw.geom as afwGeom 

27from lsst.meas.astrom import MatchProbabilisticConfig, MatchProbabilisticTask 

28 

29import numpy as np 

30import pandas as pd 

31 

32 

33class MatchProbabilisticTaskTestCase(lsst.utils.tests.TestCase): 

34 """MatchProbabilisticTask test case.""" 

35 def setUp(self): 

36 ra = np.array([-0.1, -0.2, 0., 0.1, 0.2]) 

37 dec = np.array([-0.15, 0.15, 0, 0.15, -0.15]) 

38 mag_g = np.array([23., 24., 25., 25.5, 26.]) 

39 mag_r = mag_g + [0.5, -0.2, -0.8, -0.5, -1.5] 

40 zeropoint = MatchProbabilisticConfig.mag_zeropoint_ref.default 

41 fluxes = tuple(-0.4*10**(mag - zeropoint) for mag in (mag_g, mag_r)) 

42 eps_coord = np.full_like(ra, lsst.geom.Angle(0.2, lsst.geom.arcseconds).asDegrees()) 

43 eps_flux = np.full_like(eps_coord, 10) 

44 flags = np.ones_like(eps_coord, dtype=bool) 

45 

46 columns_flux = ['flux_g', 'flux_r'] 

47 columns_ref_meas = [ 

48 MatchProbabilisticConfig.column_ref_coord1.default, 

49 MatchProbabilisticConfig.column_ref_coord2.default, 

50 ] + columns_flux 

51 

52 data_ref = { 

53 columns_ref_meas[0]: ra[::-1], 

54 columns_ref_meas[1]: dec[::-1], 

55 columns_flux[0]: fluxes[0][::-1], 

56 columns_flux[1]: fluxes[1][::-1], 

57 } 

58 self.catalog_ref = pd.DataFrame(data=data_ref) 

59 

60 columns_target_meas = [ 

61 MatchProbabilisticConfig.column_target_coord1.default, 

62 MatchProbabilisticConfig.column_target_coord2.default, 

63 ] + columns_flux 

64 columns_target_err = [f'{column}Err' for column in columns_target_meas] 

65 

66 data_target = { 

67 columns_target_meas[0]: ra + eps_coord, 

68 columns_target_meas[1]: dec + eps_coord, 

69 f'{columns_target_meas[0]}Err': eps_coord, 

70 f'{columns_target_meas[1]}Err': eps_coord, 

71 columns_flux[0]: fluxes[0] + eps_flux, 

72 columns_flux[1]: fluxes[1] - eps_flux, 

73 f'{columns_flux[0]}Err': eps_flux, 

74 f'{columns_flux[1]}Err': eps_flux, 

75 MatchProbabilisticConfig.columns_target_select_true.default[0]: flags, 

76 MatchProbabilisticConfig.columns_target_select_false.default[0]: ~flags, 

77 } 

78 self.catalog_target = pd.DataFrame(data=data_target) 

79 

80 self.task = MatchProbabilisticTask(config=MatchProbabilisticConfig( 

81 columns_ref_flux=columns_flux, 

82 columns_ref_meas=columns_ref_meas, 

83 columns_target_meas=columns_target_meas, 

84 columns_target_err=columns_target_err, 

85 )) 

86 self.wcs = afwGeom.makeSkyWcs(crpix=lsst.geom.Point2D(9000, 9000), 

87 crval=lsst.geom.SpherePoint(180., 0., lsst.geom.degrees), 

88 cdMatrix=afwGeom.makeCdMatrix(scale=0.2*lsst.geom.arcseconds)) 

89 

90 def tearDown(self): 

91 del self.catalog_ref 

92 del self.catalog_target 

93 del self.task 

94 del self.wcs 

95 

96 def test_MatchProbabilisticTask(self): 

97 result = self.task.run( 

98 catalog_ref=self.catalog_ref, 

99 catalog_target=self.catalog_target, 

100 wcs=self.wcs, 

101 logging_n_rows=2, 

102 ) 

103 indices_target = list(result.cat_output_target.match_row.values) 

104 self.assertEqual(indices_target, list(np.arange(len(indices_target))[::-1])) 

105 

106 

107class MemoryTester(lsst.utils.tests.MemoryTestCase): 

108 pass 

109 

110 

111def setup_module(module): 

112 lsst.utils.tests.init() 

113 

114 

115if __name__ == "__main__": 115 ↛ 116line 115 didn't jump to line 116, because the condition on line 115 was never true

116 lsst.utils.tests.init() 

117 unittest.main()